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GetGo is Singapore’s largest and fastest-growing carsharing platform that enables everyone with the freedom to drive without the burden of ownership. Our vision is to be APAC’s #1 carsharing platform as we seek to create a mobility ecosystem that's shared and sustainable for all.
We are looking for an experienced data nerd with a passion for all things numerical. This is an opportunity to work on end-to-end data science tasks, while gaining exposure to the data engineering side as well.
Our ideal candidate has a passion for data and can build systems to provide relevant insights to GetGo to fulfil our mission of enabling the #FreedomToDrive.
What You Will Be Doing
The Data Scientist will be responsible for the following:
- Partner with Product and Operations to translate business problems into analytical projects, define success metrics, and run experiments (e.g. A/B tests).
- Build, Maintain and Optimise GetGo’s Lakehouse, Data Acquisition and Data Pipelines on Databricks.
- Implement Data Governance initiatives to improve Data Quality and Integrity.
- Streamline data flows and models; improve consistency, quality, accessibility, and security; and, optimise database activity across company needs.
- Collaborate with internal stakeholders (business analytics, marketing teams etc.) to specify data requirements and develop data marts and feature stores to support data insights to meet company OKRs.
- Understand and implement distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies.
- Design, build, and deploy predictive models (e.g. demand forecasting, pricing, fraud, churn) and measure their business impact on key metrics.
- 3 Years of Data Science experience in any relevant industry.
- Experience with cloud tools and Big Data technologies like Spark and Hive.
- Experience with Databricks preferred.
- Excellent understanding and curiosity in the areas of data science and machine learning frameworks, tools, and algorithms, both for regression and classification problems.
- Strong technical capabilities and proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges.
- Must have knowledge and skills in Python, SQL, PySpark, Analysis and Data Visualisation.
- Good to have knowledge and skills in JavaScript, QGIS, AWS, GeoSpatial
- Strong personal alignment with our GetGo Values:
- Driven by Purpose
- Stay Curious & Humble
- Collaborate with Empathy
- Make It Better
- Get It Going
Key Skills
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